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ChipsAI MCP Server

by fgasparetto·io.github.fgasparetto/chipsai-mcp·v1.0.1
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MCP server for ChipsAI — manage chatbots, conversations, and AI models

B72/100grade B
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B72/100

full report

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0 stars18 downloads/wk

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ChipsAI MCP Server tools (19, 8 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • create_chatbotwrite action

    Create a new chatbot. Returns uuid, details, and the embed script tag to add to any website.

  • create_conversationwrite action

    Create a new conversation for a chatbot.

  • delete_chatbotwrite action

    Soft-delete (deactivate) a chatbot.

  • delete_conversationwrite action

    Delete a conversation and all its messages.

  • get_chatbot

    Get full chatbot details: name, brand_name, welcome, prompt, current_ai_model, colors, is_active.

  • get_chatbot_analytics

    Get chatbot analytics: total messages, sessions, daily stats, device/country distribution.

  • get_chatbot_config

    Get public widget configuration for a chatbot: colors, fonts, logo, welcome message.

  • get_conversation

    Get conversation details: title, chatbot, timestamps, message count.

  • get_conversation_messages

    Get all messages from a conversation (role, content, timestamp).

  • get_session_messages

    Get all messages from a widget conversation session: direction (in/out), content, timestamp, summary.

  • get_user_plan

    Get current user info: credit balance, unlimited status, chatbot count, messages used.

  • list_ai_models

    List available AI models grouped by provider (name, model_id, is_free, credit_cost).

  • list_chatbots

    List all chatbots for the authenticated user. Returns uuid, name, brand_name, welcome, is_active, created_at.

  • list_conversation_history

    List widget conversation sessions (by session_id) with date, chatbot, summary, message count. Paginated. Optionally filter by chatbot_uuid.

  • list_conversations

    List conversations. Optionally filter by chatbot_uuid.

  • send_messagewrite action

    Send a message to a chatbot and get AI response. Creates new conversation if conversation_id not provided.

  • update_chatbotwrite action

    Update chatbot fields. Only non-empty values are sent. Use get_chatbot first to see current values. context_variables: list of {key, label, description, default_value} dicts defining variables the host page can pass via data-context.

  • update_conversationwrite action

    Update conversation title.

  • upload_documentwrite action

    Upload a PDF/DOC/DOCX file to a chatbot for RAG knowledge base extraction (LlamaParse). Provide absolute local file_path.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan3 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 152 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install ChipsAI MCP Server in Claude Code, Cursor or VS Code

claude mcp add chipsai-mcp -- uvx chipsai-mcp
Add to Cursor

What the publisher says

From the ChipsAI MCP Server repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.fgasparetto/chipsai-mcp -->

ChipsAI MCP Server

MCP (Model Context Protocol) server for ChipsBot — manage chatbots, conversations, documents, bot-to-bot routing, RAG configuration, and AI models from Claude Code, Claude Desktop, or any MCP client.

Requirements

  • Python 3.11+
  • uv (recommended) or pip
  • A ChipsBot account (sign up)

Quick Start

No installation needed with uv:

uv run --script server.py

Or install manually:

pip install "mcp[cli]" httpx
python server.py

Configuration

The server uses environment variables for authentication. API key is the recommended method — generate one from your ChipsBot dashboard.

Legacy: username/password authentication

If you don't have an API key, you can use username/password instead:

Claude Code

Add to your project's .mcp.json:

{
  "mcpServers": {
    "chipsai": {
      "command": "uvx",
      "args": ["chipsai-mcp"],
      "env": {
        "CHIPSAI_API_KEY": "chipsai_your_api_key_here"
      }
    }
  }
}

Claude Desktop

Add to claudedesktopconfig.json:

{
  "mcpServers": {
    "chipsai": {
      "command": "uvx",
      "args": ["chipsai-mcp"],
      "env": {
        "CHIPSAI_API_KEY": "chipsai_your_api_key_here"
      }
    }
  }
}

Available Tools

Chatbot Management

Documents (RAG)

Conversations

Widget History

Chat

Bot-to-Bot Connections

RAG Configuration

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

ChipsAI MCP Server: common questions

Is ChipsAI MCP Server safe?
Mostly: it is graded B (72/100). Read the ChipsAI MCP Server safety report
How do I install ChipsAI MCP Server?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does ChipsAI MCP Server need an API key?
Yes. The registry entry asks for CHIPSAI_PASSWORD.
Is ChipsAI MCP Server maintained?
The last commit was 167 days ago (2026-04-29). The latest release is v1.0.1.

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